- Review
- Open access
- Published:
Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies
World Journal of Surgical Oncology volume 23, Article number: 66 (2025)
Abstract
Lung adenocarcinoma is the most prevalent type of lung cancer, with invasive lung adenocarcinoma being the most common subtype. Screening and early treatment of high-risk individuals have improved survival; however, significant differences in prognosis still exist among patients at the same stage, especially in the early stages. Invasive lung adenocarcinoma has different histological morphologies and biological characteristics that can distinguish its prognosis. Notably, several studies have found that the pathological subtypes of invasive lung adenocarcinoma are closely associated with clinical treatment. This review summarised the distribution of various pathological subtypes of invasive lung adenocarcinoma in the population and their relationship with sex, smoking, imaging features, and other histological characteristics. We comprehensively analysed the genetic characteristics and biomarkers of the different pathological subtypes of invasive lung adenocarcinoma. Understanding the interaction between the pathological subtypes of invasive lung adenocarcinoma and the tumour microenvironment helps to reveal new therapeutic targets for lung adenocarcinoma. We also extensively reviewed the prognosis of various pathological subtypes and their effects on selecting surgical methods and adjuvant therapy and explored future treatment strategies.
Introduction
Lung cancer is associated with most of the cancer-related deaths, and lung adenocarcinoma is the most prevalent histological type, accounting for > 40% [1,2,3]. The pathological classification of lung tumours has been revised several times [4,5,6,7,8] (Fig. 1), and the five pathological subtypes of lung adenocarcinoma (lepidic, acinar, papillary, micropapillary, and solid), defined using predominant histopathological patterns, account for > 90% of lung adenocarcinomas [9,10,11,12]. Pathological subtypes can distinguish prognosis, predict the efficacy of adjuvant therapy, guide the selection of surgical methods, reveal the law of clinical evolution to help accurately diagnose and treat tumours; however, controversies still exist [13,14,15,16,17,18]. Considering the differences in sample sizes, inclusion criteria, regions, and study results for the different pathological subtypes of invasive lung adenocarcinoma, here, we discuss these epidemiological features, biological characteristics, and impact on the clinical treatment to provide important insight and help to understand their distribution in the population, histological evolution, and clinical treatment decisions.
The brief timeline of editions in pathological classification of lung adenocarcinomaFootnote
The original World Health Organization (WHO) version of lung tumours in 1967 and 1981 divided adenocarcinoma into four categories: acinar, papillary, bronchioloalveolar carcinoma (BAC), and solid cancer with mucous formation. The 3rd edition of 2004 continued the classification of mixed subtypes in 1999 and introduced micropapillary subtypes but did not include them in the classification. In 2011, the International Association for the Study of Lung Cancer, American Thoracic Society, and European Respiratory Society (IASLC/ATS/ERS) abandoned BAC, introduced adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), lepidic and micropapillary subtypes, and suggested that lung adenocarcinoma should be defined by major pathological subtypes. The 4th edition of the WHO classification in 2015 followed the new classification proposed by IASLC/ATS/ERS and proposed a grading system based on major pathological subtypes. The 5th edition of the 2021 classification emphasised the heterogeneity of lung adenocarcinoma and the influence of high-grade components, proposing a new grading system that combined major subtypes and high-grade components.
. Abbreviations: WHO, World Health Organization; IASLC/ATS/ERS, the International Association for the Study of Lung Cancer, American Thoracic Society and European Respiratory Society; BAC, bronchioloalveolar carcinoma; AIS, adenocarcinoma in situ; MIA, minimally invasive adenocarcinomaEpidemiological characteristics
Distribution in the population
Invasive lung adenocarcinomas are gradually becoming more aggressive and less differentiated distributions from lepidic to acinar/papillary to micropapillary/solid subtypes [6, 19]. Generally, the acinar subtype is the most prevalent; however, the papillary subtype has also been reported in some cases, which may be attributed to variability in the morphology of the acinar/papillary subtypes, leading to interobserver interpretation differences [20,21,22,23,24,25,26] (Table 1 and Supplementary Fig. 1). With the increase of invasive tumor size, lepidic patterns and subtypes decreased while solid patterns and subtypes increased [23, 27]. With an increase in the tumour stage, lepidic subtypes gradually decreased, and micropapillary/solid subtypes gradually increased [21].
Micropapillary/solid subtypes have poor prognosis; however, they account for a low proportion of invasive lung adenocarcinomas. The presence of micropapillary/solid patterns (> 5% but not predominant), which are more frequent, also leads to poor prognosis. Therefore, these micropapillary/solid patterns must be clarified. A study including stage I-III lung adenocarcinomas showed that solid subtypes accounted for 10.4%, whereas micropapillary subtypes accounted for only 2.1%; however, the number of cases with solid and micropapillary patterns reached 18.3% and 9.4%, respectively [10]. In another study of stage I lung adenocarcinoma, solid and micropapillary subtypes were observed in only 4.3% and 0.9%, compared with 9.4% and 26.4% in cases with solid and micropapillary patterns, respectively [28]. Wang et al. [29] statistically analysed 6418 cases of lung adenocarcinoma ≤ 3 cm; they found 1.5% with micropapillary subtypes and 11.17% with micropapillary patterns. Another study also showed that micropapillary subtypes accounted for 3.1%, whereas the percentage with micropapillary patterns was as high as 38.4% [30].
Correlation with sex and smoking
A large retrospective study from Japan reported a higher proportion of males (64.4%) and smokers (74.0%) in micropapillary/solid subtypes, whereas a relatively lower proportion of males (44.3%) and smokers (43.2%) were found in lepidic subtypes [21]. Another Japanese study also found an increasing trend in the proportion of males and smokers from lepidic subtypes to micropapillary/solid subtypes, with the highest proportion in solid subtypes [31]. Two studies further found the highest proportion of males and smokers with solid subtypes, whereas micropapillary subtypes did not differ significantly from the other subtypes [26, 32]. Notably, studies from Asia have shown that lepidic subtypes are more common in females and non-smokers, whereas solid subtypes are more common in males and smokers [21, 31,32,33,34]. These data show that the pathological subtypes of invasive lung adenocarcinoma have a specific correlation with sex and smoking; however, due to differences in sample size and race, this association needs to be further confirmed using large-scale epidemiological investigations.
Correlation with other histological features
Malignant histological features of invasive lung adenocarcinomas, such as tumour spread through air spaces (STAS), pleural invasion, and lymphovascular invasion, are correlate with clinical features and pathological subtypes [35, 36]. A Korean study showed that STAS was most prevalent in micropapillary subtypes and rare in lepidic subtypes; this trend was observed in a Finnish study but was not statistically different [15, 34]. In lung adenocarcinomas with tumour diameter ≤ 3 cm, those with lepidic patterns < 50% presented more lymphovascular invasion and pleural invasion than those with lepidic patterns ≥ 50% [27]. Ito et al. [21] reported that lymphatic vessel, vascular, and pleural invasions tended to be more frequent in acinar/papillary and micropapillary/solid subtypes than in lepidic subtypes. Notably, several studies have reported similar results [26, 31, 34, 37]. In addition, micropapillary/solid subtypes have a higher mitotic count, indicating a poor prognosis [38]. These studies suggest that the aggressiveness of pathological subtypes is closely associated with histological features.
Correlation with imaging features
Invasive lung adenocarcinoma presents various imaging features, such as ground-glass opacity (GGO), mixed ground-glass opacity (mGGO), pure solid nodules, and air bronchogram, spiculation, lobulation, pleural retraction, vessel convergence sign, which are often associated with pathologic subtypes [39, 40].
Micropapillary/solid patterns were mainly present in the purely solid nodules and rarely in GGO. In a study that included 1018 patients with GGO, no micropapillary or solid subtypes were found, and minimally invasive adenocarcinoma (MIA) was the most frequent in GGOs with nodules ≤ 20 mm and ≥ 50% ground glass appearance on CT imaging [40]. In this study, the incidence of micropapillary/solid patterns was 0.5% in GGO lung adenocarcinoma ≤ 2 cm, while the incidence of micropapillary/solid patterns was 9.5% in patients with lung adenocarcinoma ≤ 2 cm dominated by solid components. Another study found that 94 of 191 GGOs were invasive lung adenocarcinomas without micropapillary or solid subtypes, and 75% of pure GGOs were adenocarcinoma in situ (AIS) or MIA [41]. Similar results were obtained in several studies, whereas malignant features such as air bronchogram, spiculation, lobulation, pleural retraction, and signs of vessel convergence were more frequent in micropapillary/solid subtypes [39, 42,43,44].
On CT images, it is generally considered that GGO and solid components mainly reflect the non-invasive components of lepidic patterns and the invasive components represented by other histological patterns, respectively, but this is not absolute [45]. One study of 63 pure GGO lung adenocarcinomas found five were of acinar subtypes and three of papillary subtypes [46]. In a study of 146 cases of stage I invasive lung adenocarcinoma with pure GGO, 81 (55.5%) were of lepidic subtypes, 64 (43.8%) were of acinar/papillary subtypes, and 1 (0.7%) was a mucinous adenocarcinoma [47]. Ye et al. [48] found that among 501 cases of pure GGO, 31 had acinar/papillary patterns, and one each had mucinous adenocarcinoma and micropapillary/solid patterns. Ma et al. [49] found that the GGO ratio tended to be larger than the lepidic ratio, meaning that the clinical T stage based on the solid component’s size on CT images tended to be lower than the pathological T stage, suggesting that the GGO component represented not only lepidic patterns but also other invasive histological patterns. In summary, while non-lepidic patterns can appear as GGO components on CT images, sometimes lepidic patterns can also appear as solid components on CT images.
The volume doubling time (VDT) and mass doubling time (MDT) of nodules on CT images can help determine the pathological type. The median VDT and MDT, respectively, were as follows: lepidic, 1140.6 and 970.1 days; acinar, 603.2 and 639.5 days; papillary, 599.0 and 624.3 days; solid/micropapillary, 232.7 and 221.8 days [43]. The tumour shadow disappearance rate (TDR) on CT images and the maximum standardised uptake value (SUVmax) on positron emission tomography (PET) were the lowest in lepidic subtypes and highest in micropapillary/solid subtypes [50]. The deep learning technology model based on CT image features of lung nodules shows superior efficiency in predicting pathological classification of lung adenocarcinoma [51, 52].
Biological characteristics
Genetic mutations
Epidermal growth factor receptor (EGFR)
Drugs that target driver alterations have improved the prognosis of lung adenocarcinoma, and some pathological patterns have been associated with specific gene mutations [53, 54]. EGFR mutations are the most typical driver gene mutations in Asian populations [55]. Notably, most studies have shown that the proportion of lepidic patterns positively correlates with EGFR mutations. However, the proportion of solid patterns negatively correlates with EGFR mutations, with the lowest EGFR mutation rate in solid subtypes and the highest in lepidic subtypes [56,57,58,59] (Table 2).
Kristen rat sarcoma viral oncogene (KRAS)
KRAS mutations, the most typical driver mutations in Western patients, are mutually exclusive to EGFR mutations and are found mostly in solid subtypes of invasive lung adenocarcinoma, but rarely in lepidic subtypes [60,61,62,63] (Supplementary Table 1). Rekhtman et al. [60] found that the incremental increase in the amount of solid patterns leaded to the enrichment of KRAS mutations, but they did not find a positive association between solid subtypes and KRAS mutations in another study of early-stage lung adenocarcinoma [64]. Considering that the differences in outcomes may be associated with populations, sample sizes, and inclusion and exclusion criteria, a meta-analysis of 27 studies showed that the mutation rate of KRAS in solid subtypes was significantly higher than that in lepidic subtypes, with a consistent correlation in Asian and non-Asian populations [56].
Anaplastic lymphoma kinase (ALK)
ALK rearrangement occurred in approximately 5% of lung adenocarcinomas [4, 65]. ALK rearrangement is more typical in solid subtypes and less common in lepidic subtypes [63, 66,67,68]. Cai et al. [68] analysed 629 lung adenocarcinomas and found no ALK mutation in lepidic subtypes. A study including 3224 lung adenocarcinomas found that the mutation rate of ALK was highest in solid (10.7%) and micropapillary (7.53%) subtypes and lowest in lepidic subtypes (1.00%) [63]. A Korean study showed that solid subtypes had the highest ALK mutation rate (6/50, 10.7%), and no ALK mutation was found in 23 lepidic subtypes [34]. Rodig et al. [66] also found that ALK mutations were more common in solid subtypes than in other subtypes.
Other genetic mutations
Similar to ALK, rare genetic mutations such as ROS1, RET, and MET are more typical in solid subtypes [65, 69,70,71,72,73]. BRAF V600E mutations are mainly found in micropapillary subtypes but rarely in lepidic and papillary subtypes [63, 67, 74,75,76]. The mutation rates of these genes are relatively low and need to be verified using a large sample size. The TP53 mutation is the most prevalent tumour suppressor gene mutation in lung adenocarcinoma and is associated with cancer development and progression [77]. TP53 mutations occur in > 30% of lung adenocarcinomas, with mutation rates as high as > 60% in solid subtypes and approximately 10% in lepidic subtypes, consistent with the malignant progression of the pathological subtype [12, 34, 63].
Accurate prediction of gene expression based on pathological subtypes is still impossible, especially the correlation between rare gene mutations and pathological subtypes, which needs further confirmation; however, the gene mutation preference of pathological subtypes can be a guide for the clinical diagnosis and treatment selection of lung adenocarcinoma (Fig. 2).
Correlation between gene mutation and different pathological subtypes in invasive lung adenocarcinomaFootnote
Different pathological subtypes of invasive lung adenocarcinoma showed a correlation with gene mutation. The solid subtype showed opposite mutation characteristics of the lepidic subtype, the papillary subtype and the micropapillary subtype showed different BRAF mutation status. However, due to the strong histological heterogeneity of invasive lung adenocarcinoma, these possible mutational characteristics need to be further confirmed
Biomarkers
Protein expression and immunohistochemistry
Immunohistochemistry helps to identify the histological components of lung cancer, especially in poorly differentiated tumours [78, 79]. Thyroid transcription factor-1 (TTF-1) and Napsin A are markers of lung adenocarcinoma, whereas p63, p40, and CK5/6 are markers of lung squamous cell carcinoma [80]. When diagnosing poorly differentiated solid subtypes of lung adenocarcinoma, it is critical to establish that the tumour is a lung adenocarcinoma using TTF-1 and mucin staining [81]. Napsin A, a crucial marker of lung adenocarcinoma, rarely stains solid subtypes [82]. Tumours originating from club cells and TTF-1 expressing type II alveolar epithelial cells usually show GGO on CT, whereas those originating from the bronchial basal and mucous cells are TTF-1 negative and appear as solid nodules [6]. While TTF-1 expression was almost 100% in AIS, MIA and lepidic subtypes with GGO as the main image feature, it was slightly decreased in the acinar, papillary, micropapillary and solid subtypes [83, 84]. However, the slight difference in TTF-1 expression was not enough to distinguish the five major pathological subtypes, and Napsin A as an auxiliary indicator of TTF-1 also lacked specificity [6, 85].
A Japanese study found that the immunohistochemical expression of phosphorylated c-Met was positive in 22 of the 75 lung adenocarcinomas with ≥ 10% micropapillary patterns, whereas it was positive in only 5 of 50 lung adenocarcinomas with < 10% micropapillary patterns [86]. Another study found that cytoplasmic oestrogen receptors β (ERβ) expression was prevalent in micropapillary (61/94) and solid subtypes (56/72), but rare in lepidic subtypes (11/76), suggesting that cytoplasmic ERβ is associated with malignant progression and poor prognosis in lung adenocarcinoma [87]. Feng et al. [88] found that cyclin-dependent kinase subunit 2, a cell cycle-related protein associated with tumour progression and prognosis, had the highest expression in micropapillary subtypes and the lowest expression in lepidic subtypes. Another study found that C-X‐C motif chemokine ligand 14 had a higher staining score in lung adenocarcinomas with micropapillary patterns than in those without [89]. However, the sensitivity and specificity of the above immunohistochemical indicators are insufficient to distinguish the five pathological subtypes of invasive lung adenocarcinoma.
Immunohistochemistry may be useful for the differential diagnosis of rare invasive mucinous, pulmonary colloid adenocarcinoma and pulmonary enteric adenocarcinomas [4, 85]. Invasive mucinous adenocarcinomas usually are CK7+, CK20+, HNF4α+, CDX2-, TTF-1-, and Napsin A- [4, 90, 91]. Colloid adenocarcinomas often co-express CDX2, TTF1, CK-7 and CK-20 [80, 92]. Primary pulmonary enteric adenocarcinomas express at least one intestinal differentiated immunohistochemical marker, such as CDX2, CK20, or MUC2, but more commonly CDX2+/CK7 + and TTF-1-/CK20-, and any combination is possible [93, 94].
Ki-67
Ki-67 has been widely used to evaluate tumour proliferation and is associated with poor prognosis [95, 96]. A study of stage I lung adenocarcinoma found that the median Ki-67 expression level was the highest (60%) in solid subtypes and the lowest (5%) in lepidic subtypes, all solid and micropapillary subtypes had Ki-67 expression levels ≥ 10%, 72.2% of solid subtypes had Ki-67 expression levels ≥ 50%, while none of the lepidic subtypes had Ki-67 expression levels ≥ 50% [96]. Another study found no statistical difference in disease-free survival (DFS) and overall survival (OS) of lepidic/acinar/papillary subtypes with Ki-67 expression ≥ 30% compared with micropapillary/solid subtypes [97].
Programmed cell death ligand 1 (PD-L1)
Overexpression of PD-L1 in tumour cells is a major mechanism of tumour immune escape; immune checkpoint inhibitors (ICIs) and targeting the PD-L1 pathway have shown significant clinical efficacy in treating lung cancer [98, 99]. PD-L1 expression, especially high expression, is more prevalent in solid subtypes but rarely appears in AIS, MIA, or lepidic subtypes [17, 58, 98]. A TCGA database study found that PD-L1 protein expression was significantly higher in solid subtypes than in other pathological subtypes by immunohistochemistry [17]. Zhao et al. [58] reported PD-L1 positivity in only 1 of 23 lepidic subtypes, whereas solid subtypes had a higher PD-L1 positivity rate of 72.7%. Another study found that PD-L1 showed almost no expression in AIS and MIA, whereas 54.5% of solid subtypes had PD-L1 > 1% and 22.7% had PD-L1 ≥ 50%, only 7.8% of lepidic subtypes had PD-L1 > 1%, and no PD-L1 ≥ 50% was found [98].
Tumour mutational burden (TMB)
TMB is a new predictive biomarker for ICIs and is highest in solid subtypes [17, 100, 101]. Through next-generation sequencing of 604 lung adenocarcinomas with stage I to III, Caso et al. [102] found that median TMB increased with subtype invasiveness, and copy number amplifications of micropapillary/solid subtypes were significantly higher than that of lepidic subtypes (p = 0.021). Another study found that the proportion of high TMB in micropapillary/solid subtypes (12/23) was significantly higher than that in lepidic (8/95) and acinar/papillary subtypes (45/217) [103]. Dong et al. [17] found that the TMB of solid subtypes was much higher than that of other subtypes. Another Chinese study of stage I lung adenocarcinoma found the same results [77].
Tumour microenvironment
The tumour microenvironment (TME) is critical in regulating cancer progression and influencing therapeutic outcomes and varies among different pathological subtypes of lung adenocarcinomas [104] (Fig. 3).
Microenvironment regulation of the different pathologic patterns of invasive lung adenocarcinoma progressionFootnote
In the TMEs of different histopathological types, the number of lymphocytes was similar, but the interaction between lymphocytes was significantly different, and myeloid cells were more abundant in the solid subtype. CD8 + and CD4 + T cells interact more strongly with cancer cells in the lepidic subtype. In the high-grade subtype, the extracellular matrix (ECM) acts as a barrier to prevent immune cells from acting on cancer cells; however, neutrophils, endothelial cells, and macrophages interact more strongly with cancer cells, promoting tumour metastasis. Cancer-associated fibroblasts (CAFs) and M2 macrophages may play an important role in regulating histological progression.
. Abbreviations: CAF, cancer-associated fibroblastImmune cells
Macrophages are the most abundant immune cell type in the TME, and tumour-associated macrophages (TAMs) promote tumour progression to malignancy [105]. TAMs was biased towards M2 type (alternatively activated), promoting tumour growth, invasion, and metastasis [106, 107]. Macrophages are enriched in solid and micropapillary morphology, while M2 macrophages play an important role in promoting histological progression [108]. Sorin et al. [105] found no significant differences in total lymphocyte counts among the five pathological subtypes, whereas the differences in myeloid cells were greater, especially the highest enrichment of CD163+ (a specific marker of M2 type) macrophages in solid subtypes. These results revealed macrophage phenotypic heterogeneity of lung adenocarcinoma histologic subtypes.
T cells are the core of mediating anti-tumor immunity, and their anti-tumor immune response depends on the interaction of CD4 + and CD8 + T cells with tumor antigens [109]. The amount of immune cells increased with the increase of malignancies, especially in solid subtypes, the immune cell infiltration of CD4 + T cells, CD8 + T cells, B cells (CD19+) and monocytes (CD11b+) was significantly higher than that of other subtypes [12]. Tavernari et al. [16] performed histopathology-guided multi-region sampling of 10 early primary lung adenocarcinomas and found that lymphoid and myeloid immune cells were enriched in solid patterns, which were highly associated with markers of T-cell exhaustion, suggesting that mechanisms of immune evasion occur in tumour samples with solid patterns. CD8 + T cells of the solid subtype have considerable cytotoxic activity; however, their annihilating ability is weakened by exhaustion and competitive hypoxia [110].
Cancer-associated fibroblasts (CAFs)
The histological progression of lung adenocarcinoma is spatially restricted and regulated by the TME but is not entirely a transition from low-grade to high-grade [11, 111]. Among all the stromal cells that populate the TME, CAFs are the most abundant and are critical in histological progression of lung adenocarcinomas [111, 112]. Sato et al. [111] injected A549 human lung adenocarcinoma cells into immunodeficient mices through four different routes and found that the tumours showed different histological subtypes of lung adenocarcinomas at various sites. They further found that solid subtype cells could form acinar subtype tumours after subcapsular injection, whereas solid subtype tumours could form after subcutaneous injection of acinar subtype cells. CAFs mediated paracrine TGF-β signalling induced this histological transformation process.
Spatial heterogeneity of TME
Single-cell technologies have revealed the complexity of the TME with unparalleled resolution, identifying differences between histological subtypes of lung adenocarcinoma [105, 110]. One single-cell sequencing study revealed that solid subtypes upregulate energy and substance metabolic activities, particularly folate-mediated one-carbon metabolism. The key gene methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) could be a potential therapeutic target [110]. Signalling pathways associated with aggressiveness, metabolic activity, and immune response-related markers were also enriched in solid subtypes, suggesting that solid subtypes have a more powerful immune escape ability. But, invasive lung adenocarcinoma has extensive spatial heterogeneity [108].
The spatial relationship between cellular interactions has a greater prognostic value than cell frequency alone. Sorin et al. [105] found that the tendency of CD163 + macrophages and CD8 + T cells to interact was the strongest in high-grade subtypes, which was consistent with the role of CD163 + macrophages in suppressing CD8 + T cell function in the TME. The overall frequency of CD8 + and CD4 + T cells was not associated with disease progression; however, CD8 + and CD4 + T cells interacted more strongly with cancer cells in low-grade subtypes, and neutrophils and endothelial cells interacted more strongly with cancer cells in high-grade subtypes [105]. New single-cell resolution spatial transcriptomics will help further elucidate cellular interactions and cell state transitions in spatial architectures [108, 113, 114].
These findings demonstrate immune infiltration and alteration of the TME in histopathology from ‘immune desert’ at low-grade (lepidic) to ‘immune activation’ at mid-grade (acinar and papillary) to ‘immune depletion’ at high-grade (micropapillary, solid and complex glands). Proliferation and migration markers were enriched in solid subtypes, while development/morphogenesis markers were enriched in lepidic subtypes [16]. The intratumoural histological heterogeneity of invasive lung adenocarcinoma is consistent with the cancer cells’ intrinsic characteristics and changes in the TME. The levels of hypoxia, acidification and glycolysis were higher in solid subtypes [110]. CAFs and hypoxic environments are critical in histological progression and immune infiltration of lung adenocarcinomas [110, 111, 115]. The lack of tumour-promoting stromal cells and reduced levels of specific expression of hypoxic markers are characteristic of lepidic subtypes, whereas the hypoxic environment and role of immunosuppressive macrophages may contribute to the immune depletion of solid subtypes [110, 116]. Neutrophil depletion can reduce tumour progression by attenuating macrophage recruitment and T-cell suppression while reducing lung squamous tumour growth and promoting the transformation to lung adenocarcinomas [117, 118]. However, involving neutrophils in the histological progression of invasive lung adenocarcinomas requires further investigation.
Clinical management
Prognosis
The TNM stage is the most typical grading system, and although it can better distinguish prognosis, it still gives a different prognosis for the same stage lung adenocarcinomas [25, 119]. Histopathological staging can help further differentiate the prognosis of lung adenocarcinoma. Lepidic subtypes had the best prognosis, similar to that of MIA; micropapillary/solid subtypes had the worst prognosis, and acinar/papillary subtypes were moderate. The results were inconsistent in individual studies due to different inclusion criteria and further potential differentiation of pathological subtypes, especially acinar/papillary subtypes (Supplementary Table 2).
Non-predominant histopathological patterns
Pathological subtypes named after the predominant histopathological patterns lead to the sometimes substantial neglect of the prognostic impact of other tumour histopathological patterns. The presence and proportion of lepidic patterns were positively correlated with prognosis, whereas the presence and proportion of micropapillary/solid patterns were negatively associated with prognosis [34, 120,121,122]. Moon et al. [123] found that the prognosis of stage I lung adenocarcinoma improved with the increase of lepidic patterns. A study including T1a-T1bN0M0 acinar/papillary subtypes found that the 5-year OS rate was 96.3% in the group with lepidic patterns as the second predominant component, 61.8% in the group with non-lepidic patterns as the second predominant component, while it was 96.8% in lepidic subtypes [124]. Another study also found that in acinar subtypes of stage IA, the group with ≥ 20% lepidic patterns had better OS and DFS than the one with < 20% lepidic patterns [125]. A multicenter study found that pT1 lung adenocarcinomas with ≥ 5% micropapillary/solid patterns had poorer DFS and OS than those with < 5% micropapillary/solid patterns and had a similar prognosis to pT2a [122]. A large-sample retrospective study found that the non-predominant solid group had worse DFS and OS than the solid absent group and similar to the solid predominant group in stage I lung adenocarcinoma [24]. Multiple studies have shown that non-predominant micropapillary/solid patterns, even ≥ 1%, can lead to a poor prognosis, suggesting that the focus should not be solely on micropapillary/solid subtypes [10, 126]. However, the cut-off values of micropapillary/solid patterns as prognostic factors and their spatial distribution in tumours need to be further investigated. A previous study also found that tumour marginal lepidic patterns were associated with a better prognosis, suggesting that inert tumour marginal patterns prevented tumour proliferation and invasion [127]. Whether high-grade patterns at the tumour margin or near the vasculature lead to more aggressive biological characteristics requires further investigation.
Protective effect of lepidic patterns
The prognosis of acinar/papillary subtypes with both lepidic and micropapillary/solid patterns is unclear. Hou et al. [128] divided acinar/papillary-predominant stage I lung adenocarcinomas into four groups based on lepidic and micropapillary/solid patterns: (a) lepidic + and micropapillary/solid -, (b) lepidic - and micropapillary/solid -, (c) lepidic + and micropapillary/solid +, and (d) lepidic - and micropapillary/solid + [128]. They found that the 5-year recurrence-free survival (RFS) rates in the four groups were 98.7%, 94.4%, 94.0%, and 81.9%, respectively, and the 5-year OS rates were 98.4%, 94.4%, 96.6% and 87.7%, respectively (P < 0.001). It could be seen that the prognosis was good when lepidic patterns and micropapillary/solid patterns were present simultaneously, and multivariate analysis showed that the lepidic - and micropapillary/solid + subtype was significantly associated with poorer RFS, indicating that lepidic patterns had a “protective role”.
Other special histopathological patterns
However, some unique growth patterns associated with a poorer prognosis must be further distinguished, such as the cribriform, fused gland, and filigree patterns [129,130,131]. Cribriform growth patterns, first reported in lung cancer in 1978, are microscopically characterised as invasive back-to-back fused tumour glands with poorly formed glandular spaces lacking an intervening stroma or invasive tumour nests of tumour cells that produce glandular lumina without solid components [129, 132]. Cribriform subtypes have a higher rate of mitosis, necrosis, vascular, pleural, and lymphatic invasions and nuclear atypia than the traditional acinar subtypes and are more prone to lymph node metastasis [35, 132]. Cribriform growth patterns have been reported in 23.8–39.8% of invasive lung adenocarcinomas, and 6.8–60% of acinar subtypes can be categorised as cribriform subtypes, with cribriform subtypes accounting for 4.4–27.2% of lung adenocarcinomas, requiring high emphasis [25, 35, 132,133,134,135]. Fused glands were defined as glands with irregular borders, back-to-back glands without intervening stroma, or ribbon-like formations [130]. In the new international association for the study of lung cancer (IASLC) grading system, fused glands and cribriform patterns are categorised as high-grade patterns. However, the prognostic impact of fused glands remains controversial [130, 134, 136]. The filamentous pattern, defined as tumour cells growing in delicate, lace-like, narrow stacks of cells without fibrovascular cores, is a novel growth pattern identified recently with a prognosis similar to micropapillary subtypes [22, 131].
These histological growth patterns were highly correlated with prognosis and enriched the histopathological types of invasive lung adenocarcinomas, which helps to better guide clinical treatment [13]. It is also necessary to provide more precise guidance for determining histopathological morphology to reduce differences in pathological interpretations [22, 137]. The presence or proportion of high-grade subtypes may be conducive to prognostic differentiation and clinical applications [8, 13]. Cribriform growth patterns are associated with poor prognosis; however, further studies are required to determine whether a separate cribriform subtype is necessary [129, 132].
Effect on surgery
Lobectomy became the standard procedure for early-stage lung cancer based on the results of the clinical trial published in 1995; however, this trial had many shortcomings, including the absence of pathological differentiation and the lack of differentiation between segmentectomy and wedge resection in sublobectomy [138, 139]. With changes in the lung cancer spectrum, GGO lung cancer, which has biological characteristics different from those of pure solid lung cancer and has a better prognosis, has become the predominant type, requiring changes in surgical methods [140, 141]. MIA has been reported to have almost no lymph node metastasis, and the prognosis of sublobectomy is similar to that of lobectomy, with more lung function preserved [6, 142]. Different pathological subtypes of invasive lung adenocarcinoma have different lymph node metastasis and recurrence rates, which may benefit from different surgical methods.
Whether lobectomy can be avoided in lepidic subtypes?
Whether lobectomy can be avoided in lepidic subtypes with a prognosis similar to MIA requires further investigation. Wang et al. [143] found that 5-year RFS and OS in lepidic subtypes with tumour size ≤ 3 cm were not significantly different from those with lobotomy. In another study of 139 patients with stage I lepidic subtypes, none of whom had lymph node metastasis, patients who underwent limited mediastinal lymphadenectomy had a good prognosis comparable to those who underwent complete mediastinal lymphadenectomy [144]. In a large retrospective study of cT1-2N0M0 lepidic adenocarcinoma, 1544 (77.5%) patients underwent lobectomy, and 447 (22.5%) underwent sublobectomy [145]. No significant difference was seen in survival between patients who underwent sublobectomy with lymph node sampling and those who underwent lobectomy, suggesting the possibility of sublobectomy and limited mediastinal lymphadenectomy in lepidic subtypes [145]. Similarly, another postoperative analysis of pIA lung adenocarcinoma found no recurrence in lepidic subtypes after either lobectomy or sublobectomy at a median follow-up of 38.9 months [146]. Both these retrospective studies highlight the potential for sublobectomy and limited mediastinal lymphadenectomy for lepidic subtypes.
At present, most of the studies on the surgical methods for early lung cancer are based on tumour diameter and the consolidation-to-tumour ratio (CTR) on CT images. A multi-centre prospective clinical trial validated the specificity of mediastinal lymph node metastasis in cT1N0 invasive NSCLC, providing an important theoretical basis for the clinical application of limited mediastinal lymphadenectomy [147]. In this study, CTR ≤ 0.5, lepidic subtypes, and negative hilar nodes (stations 10–12) were used as predictors of negative mediastinal lymph nodes to accurately predict the status of all negative lymph nodes in the mediastinal region. Multiple previous studies have reported the effectiveness of sublobectomy in GGO lung cancer, which multiple prospective clinical trials have further confirmed that sublobectomy is safe and effective for lung cancer with tumour diameter ≤ 3 cm and CTR ≤ 0.5 [148,149,150,151,152,153,154,155,156,157] (Supplementary Table 3). GGO-dominated lung cancers were mostly of MIA and lepidic subtypes in these studies, suggesting the feasibility of sublobectomy and limited mediastinal lymphadenectomy for lepidic subtypes, but further verification was needed by high-quality prospective clinical trials [153].
Warning of micropapillary/solid patterns
The presence of micropapillary/solid patterns is associated with higher rates of lymph node and occult lymph node metastases, suggesting that lung adenocarcinomas containing micropapillary or solid patterns may benefit from lobectomy and complete mediastinal lymphadenectomy [9, 158,159,160,161]. Solid patterns are associated with extrathoracic recurrence, possibly reflecting an increased risk of blood transmission, whereas micropapillary patterns are associated with locoregional recurrence, suggesting that surgical margins are essential [9, 162]. An analysis of 734 patients with lung adenocarcinoma ≤ 2 cm showed no significant difference in cumulative incidence of relapse (CIR) during lobectomy between the micropapillary patterns ≥ 5% group and the micropapillary patterns < 5% group (19.1% vs. 12.9%, P = 0.13). When sublobectomy was performed, CIR in the ≥ 5% group was significantly higher than that in the < 5% group (34.2% vs. 12.4%, P < 0.0001). This suggests that sublobectomy may not be appropriate for lung adenocarcinoma with micropapillary patterns. Yao et al. [163] found that segmentectomy of lung adenocarcinoma ≤ 1 cm containing micropapillary patterns was similar to lobectomy, but that wedge resection had worse RFS and OS than segmentectomy and lobectomy, further suggesting that segmentectomy was still effective in smaller diameter lung adenocarcinoma with micropapillary patterns, but not suitable for wedge resection. Another study involving 1409 patients with invasive lung adenocarcinoma ≤ 1 cm also found that wedge resection yielded a significantly worse prognosis than anatomic resection in papillary and micropapillary/solid subtypes [164]. Xu et al. [165] found that the survival of the lobectomy group was better than that of the sublobectomy group and the survival of patients with systematic dissection was better than that of patients with limited lymph node dissection in lung adenocarcinomas ≤ 2 cm with micropapillary patterns > 5%. Therefore, more extensive resection may be required for micropapillary/solid subtypes, even if the tumour diameter is ≤ 1 cm.
The effects of pathological patterns on the surgical methods used for early invasive lung adenocarcinoma need to be verified through more high-quality RCT studies. However, the representativeness and accuracy of preoperative biopsy and intraoperative frozen section (FS) diagnosis are critical factors affecting its research and application. FS diagnosis is superior to preoperative biopsy because it has more tissue for evaluation, which is an indispensable reference for tumour surgery, but misdiagnosis and misjudgment are inevitable [166]. The accuracy of FS diagnosis in differentiating invasive adenocarcinoma from AAH, AIS and MIA is as high as 93.7-95.9%, while that in differentiating major pathological subtypes is 68.0-94.0% [142, 147, 166,167,168,169]. A retrospective study found that FS diagnosis predicted major histological subtypes with an accuracy of 68% [166]. It showed poor sensitivity in identifying micropapillary patterns (37%), micropapillary subtypes (21%) and solid patterns (69%) and solid subtypes (79%), but encouraging specificity (94%, 99%; 96%, 94%). A study of 373 retrospective cases and 212 prospective multicenter cases found that the accuracy of FS in identifying the histological morphology of stage I lung adenocarcinoma was 79.1% and 89.6%, respectively [168]. Recently, a prospective study showed that FS was up to 94.0% accurate in diagnosing lepidic subtypes [147]. Multiple FSs can reduce the heterogeneity of lung adenocarcinoma and improve the diagnostic accuracy of pathological subtypes. An inflation method during cryosection could expand the alveolar space in FS and facilitate better identification of pathological subtypes [170, 171]. It is more feasible to identify the presence or absence of micropapillary/solid patterns than to quantify histological patterns and predict pathological subtypes [142, 172, 173]. Pathological subtyping of invasive lung adenocarcinomas has shown a specific role in guiding the selection of surgical methods; however, its effectiveness requires further research.
Adjuvant therapy
Adjuvant chemotherapy
Adjuvant chemotherapy is a vital lung cancer treatment; however, studies have shown that it only improves 5-year survival by 5% [174, 175]. The pathological subtypes of invasive lung adenocarcinoma correlate with the effect of adjuvant chemotherapy. By analysing the prognosis of 575 lung adenocarcinomas from four large clinical trials, Tsao et al. [176] found that adjuvant chemotherapy did not benefit the OS of all pathological subtypes; however, it only benefited the DFS of micropapillary/solid subtypes. In this study, OS among the different pathological subtypes in the observation group was the same, which was inconsistent with the results of most studies, and may the reason why micropapillary/solid subtypes had no benefit. Another study found that adjuvant chemotherapy improved OS in micropapillary/solid subtypes but not in acinar/papillary and lepidic subtypes, suggesting that micropapillary/solid subtypes can predict the efficacy of chemotherapy [177]. Adjuvant chemotherapy is not recommended for stage I lung adenocarcinomas. except for stage IB with high-risk factors. Studies have found that adjuvant chemotherapy may benefit stage IB micropapillary/solid subtypes [178,179,180]. Luo et al. [181] showed that adjuvant chemotherapy did not improve OS but significantly improved the DFS of stage IB micropapillary/solid subtypes based on the seventh edition of the TNM classification. This finding was confirmed in two other studies based on the eight editions of the TNM classification [179, 180]. Similarly, Wang et al. [182] found that the progression-free survival (PFS) and OS of stage IA micropapillary/solid subtypes could also benefit from adjuvant chemotherapy. However, whether micropapillary/solid subtypes can guide chemotherapy for early lung adenocarcinomas requires more evidence-based medical data.
Targeted therapies
Targeted drugs, such as EGFR tyrosine kinases inhibitors (EGFR-TKIs) and ALK-TKIs, have shown good effects in treating lung adenocarcinomas and improved patients’ prognoses [183, 184]. However, different pathological subtypes of lung adenocarcinomas have shown different therapeutic responses. Lepidic subtypes are more prone to EGFR mutations, suggesting they may benefit more from EGFR-TKIs [56]. Yoshida et al. [185] found that the effect of EGFR-TKIs on EGFR mutation-positive solid subtypes was significantly worse than that on non-solid subtypes. But a study found that osimertinib combined with glycolytic inhibitors inhibited lung adenocarcinoma cells with high glycolytic levels more strongly in vitro than any monotherapy, suggesting that EGFR-TKIs combined with glycolytic inhibitors may be more effective against solid subtypes with high glycolytic levels; however, further animal validation is required [186].
Solid subtypes have a lower probability of EGFR mutations with a higher probability of KRAS and ALK mutations, suggesting that solid subtypes may benefit KRAS-TKIs and ALK-TKIs [56, 66, 187]. The completed Phase 3 clinical trial of KRAS-TKIs did not meet expectations, improving PFS by just 5 weeks compared to standard of care and failed to improve OS at all [188]. ALK-TKI has shown surprising efficacy in ALK-positive patients, especially alectinib, while immunotherapy is not recommended in ALK-positive patients due to low TMB and PD-1 expression levels and poor immunotherapy response [189,190,191,192]. ALK mutation and ALK-TKI further distinguish the heterogeneity of solid subtype lung adenocarcinomas and provide an effective and precise treatment approach.
ICIs
Solid subtypes have higher TMB and exhibit increased PD-1 expression, leading to a better response to immunotherapy [17, 98, 193]. Studies have shown that EGFR-positive lung adenocarcinomas are almost always PD-L1 negative and rarely benefit from ICIs [194, 195]. In an open-label single-arm Phase II study (NCT02927301) [196], no tumour with EGFR-positive patients who received two doses of neoadjuvant atezolizumab monotherapy achieved radiographical response and MPR (primary pathological response). However, all tumours with the pathological complete response (PCR) were EGFR-negative and PD-L1 ≥ 50% [196]. Clinical trials on ICIs are highly anticipated if they can further reveal the relationship between the histological types of lung adenocarcinomas and immunotherapy responses [197].
Conclusion
Different pathological types of invasive lung adenocarcinoma show different epidemiological and biological characteristics, providing guidance for evaluating prognosis, selecting surgical methods, and adjuvant therapy (Fig. 4). Highly malignant pathological patterns need to be further distinguished. However, the cut-off value of high-grade patterns and how to guide the treatment of lung adenocarcinoma needs further investigation. Diagnosing pathological patterns requires more accurate guidance to reduce subjective errors, and artificial intelligence-assisted diagnosis may help improve accuracy. The sensitivity of micropapillary/solid subtypes to chemotherapeutics remains unclear, and drug susceptibility tests of PDO and PDX models based on the pathological subtypes of invasive lung adenocarcinomas are necessary. Driver mutations are more like ‘switches’ that turn on the evolution of lung adenocarcinomas, whereas TME and transcriptional features are like ‘machines’ that determine the direction of the histological progression of invasive lung adenocarcinomas. The spatial interactions of TME cells and the molecular characteristics that promote malignant progression need to be further analysed. An in-depth study of the TME and histological progression of invasive lung adenocarcinomas can reveal the key pathways affecting the malignant progression of invasive lung adenocarcinomas. The development of novel drugs targeting the tumor microenvironment to block the histological deterioration or even reverse the histological transformation may be a new approach.
Potential effect of pathological subtypes on treatment decision of stage IB lung adenocarcinomaFootnote
Lepidic subtypes are more prone to EGFR mutations and may benefit from EGFR-TKIs; however, their prognosis is better and adjuvant therapy may not be required. At the same time, only sublobectomy and limited mediastinal lymphadenectomy may be required for lepidic subtypes in the absence of micropapillary/solid components due to low metastasis characteristics. Micropapillary/solid subtypes require lobectomy, complete mediastinal lymphadenectomy, and postoperative adjuvant therapy due to high recurrence and metastasis, while solid subtypes with high PD-L1 expression rate may benefit more from immunotherapy. As the intermediate acinar/papillary subtype requires further differentiation, those containing high-grade components require more stringent treatment.
. Abbreviations: EGFR-TKIs, epidermal growth factor receptor tyrosine kinases inhibitorsData availability
No datasets were generated or analysed during the current study.
Notes
The original World Health Organization (WHO) version of lung tumours in 1967 and 1981 divided adenocarcinoma into four categories: acinar, papillary, bronchioloalveolar carcinoma (BAC), and solid cancer with mucous formation. The 3rd edition of 2004 continued the classification of mixed subtypes in 1999 and introduced micropapillary subtypes but did not include them in the classification. In 2011, the International Association for the Study of Lung Cancer, American Thoracic Society, and European Respiratory Society (IASLC/ATS/ERS) abandoned BAC, introduced adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), lepidic and micropapillary subtypes, and suggested that lung adenocarcinoma should be defined by major pathological subtypes. The 4th edition of the WHO classification in 2015 followed the new classification proposed by IASLC/ATS/ERS and proposed a grading system based on major pathological subtypes. The 5th edition of the 2021 classification emphasised the heterogeneity of lung adenocarcinoma and the influence of high-grade components, proposing a new grading system that combined major subtypes and high-grade components.
Different pathological subtypes of invasive lung adenocarcinoma showed a correlation with gene mutation. The solid subtype showed opposite mutation characteristics of the lepidic subtype, the papillary subtype and the micropapillary subtype showed different BRAF mutation status. However, due to the strong histological heterogeneity of invasive lung adenocarcinoma, these possible mutational characteristics need to be further confirmed
In the TMEs of different histopathological types, the number of lymphocytes was similar, but the interaction between lymphocytes was significantly different, and myeloid cells were more abundant in the solid subtype. CD8 + and CD4 + T cells interact more strongly with cancer cells in the lepidic subtype. In the high-grade subtype, the extracellular matrix (ECM) acts as a barrier to prevent immune cells from acting on cancer cells; however, neutrophils, endothelial cells, and macrophages interact more strongly with cancer cells, promoting tumour metastasis. Cancer-associated fibroblasts (CAFs) and M2 macrophages may play an important role in regulating histological progression.
Lepidic subtypes are more prone to EGFR mutations and may benefit from EGFR-TKIs; however, their prognosis is better and adjuvant therapy may not be required. At the same time, only sublobectomy and limited mediastinal lymphadenectomy may be required for lepidic subtypes in the absence of micropapillary/solid components due to low metastasis characteristics. Micropapillary/solid subtypes require lobectomy, complete mediastinal lymphadenectomy, and postoperative adjuvant therapy due to high recurrence and metastasis, while solid subtypes with high PD-L1 expression rate may benefit more from immunotherapy. As the intermediate acinar/papillary subtype requires further differentiation, those containing high-grade components require more stringent treatment.
Abbreviations
- TME:
-
Tumour microenvironment
- TLSs:
-
Tertiary lymphoid structures
- TIME:
-
Tumour immune microenvironment
- TNM:
-
Tumour-node-metastasis
- GGO:
-
Ground-glass opacity
- mGGO:
-
Mixed ground-glass opacity)
- VDT:
-
Volume doubling time
- MDT:
-
Mass doubling time
- TDR:
-
Tumour shadow disappearance rate
- SUV:
-
Standardised uptake value
- PET:
-
Positron emission tomography
- KRAS:
-
Kristen rat sarcoma viral oncogene
- IMA:
-
Invasive mucinous adenocarcinoma
- ALK:
-
Anaplastic lymphoma kinase
- TTF:
-
Thyroid transcription factor
- DFS:
-
Disease-free survival
- RFS:
-
Recurrence-free survival
- OS:
-
Overall survival
- DSS:
-
Disease-specific survival
- PD-L1:
-
Programmed cell death ligand 1
- FS:
-
Frozen section
- FP:
-
Final pathology
- PCR:
-
Pathological complete response
- STAS:
-
Spread through air spaces
- AAH:
-
Atypical adenomatous hyperplasia
- AIS:
-
Adenocarcinoma in situ
- MIA:
-
Minimally invasive adenocarcinoma
- CT:
-
Computerised tomography
- CTR:
-
Consolidation-to-tumour ratio
- EGFR:
-
Epidermal growth factor receptor
- CIR:
-
Cumulative incidence of relapse
- MTHFD2:
-
Methylenetetrahydrofolate dehydrogenase 2
- IASLC:
-
International association for the study of lung cancer
- ICIs:
-
immune checkpoint inhibitors
- CAF:
-
Cancer-associated fibroblast
- TAMs:
-
Tumor-associated macrophages
- PDO:
-
Patient-derived organoids
- PDX:
-
Patient-derived xenograft
References
Tran KB, Lang JJ, Compton K, et al. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the global burden of Disease Study 2019. Lancet. 2022;400(10352):563–91.
Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.
Warth A, Muley T, Meister M, et al. The Novel Histologic International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification System of Lung Adenocarcinoma is a stage-independent predictor of Survival. J Clin Oncol. 2012;30(13):1438–46.
Nicholson AG, Tsao MS, Beasley MB, et al. The 2021 WHO classification of lung tumors: impact of advances since 2015. J Thorac Oncol. 2022;17(3):362–87.
Gibbs AR, Thunnissen FB. Histological typing of lung and pleural tumours: third edition. J Clin Pathol. 2001;54(7):498–9.
Travis WD, Brambilla E, Noguchi M, et al. International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol. 2011;6(2):244–85.
Travis WD, Brambilla E, Nicholson AG, et al. The 2015 World Health Organization Classification of Lung Tumors Impact of Genetic, clinical and radiologic advances since the 2004 classification. J Thorac Oncol. 2015;10(9):1243–60.
Moreira AL, Ocampo PSS, Xia YH, et al. A Grading System for Invasive Pulmonary Adenocarcinoma: a proposal from the International Association for the Study of Lung Cancer Pathology Committee. J Thorac Oncol. 2020;15(10):1599–610.
Ujiie H, Kadota K, Chaft JE, et al. Solid predominant histologic subtype in Resected Stage I Lung Adenocarcinoma is an independent predictor of early, Extrathoracic, Multisite Recurrence and of poor postrecurrence survival. J Clin Oncol. 2015;33(26):2877–84.
Yanagawa N, Shiono S, Abiko M, Katahira M, Osakabe M, Ogata SY. The clinical impact of solid and micropapillary patterns in Resected Lung Adenocarcinoma. J Thorac Oncol. 2016;11(11):1976–83.
Karasaki T, Moore DA, Veeriah S, et al. Evolutionary characterization of lung adenocarcinoma morphology in TRACERx. Nat Med. 2023;29(4):833–45.
Song MF, Xie HK, Liu W, et al. Characterization of the evolution trajectory and immune profiling of new histologic patterns in lung adenocarcinoma. J Gene Med. 2022;24(11):e3455.
Rokutan-Kurata M, Yoshizawa A, Ueno K, et al. Validation Study of the International Association for the study of Lung Cancer histologic grading system of Invasive Lung Adenocarcinoma. J Thorac Oncol. 2021;16(10):1753–8.
Murakami S, Ito H, Tsubokawa N, et al. Prognostic value of the new IASLC/ATS/ERS classification of clinical stage IA lung adenocarcinoma. Lung Cancer. 2015;90(2):199–204.
Makinen JM, Laitakari K, Johnson S, et al. Histological features of malignancy correlate with growth patterns and patient outcome in lung adenocarcinoma. Histopathology. 2017;71(3):425–36.
Tavernari D, Battistello E, Dheilly E, et al. Nongenetic evolution drives lung adenocarcinoma spatial heterogeneity and progression. Cancer Discov. 2021;11(6):1490–507.
Dong ZY, Zhang C, Li YF, et al. Genetic and Immune profiles of Solid Predominant Lung Adenocarcinoma reveal potential immunotherapeutic strategies. J Thorac Oncol. 2018;13(1):85–96.
Hung JJ, Yeh YC, Jeng WJ, et al. Prognostic factors of survival after recurrence in patients with resected lung adenocarcinoma. J Thorac Oncol. 2015;10(9):1328–36.
Travis WD, Asamura H, Bankier AA, et al. The IASLC Lung Cancer Staging Project: proposals for Coding T Categories for Subsolid Nodules and Assessment of Tumor Size in Part-Solid tumors in the Forthcoming Eighth Edition of the TNM classification of Lung Cancer. J Thorac Oncol. 2016;11(8):1204–23.
Sun WY, Su H, Liu JS, et al. Impact of histological components on selecting limited lymphadenectomy for lung adenocarcinoma ≤ 2 cm. Lung Cancer. 2020;150:36–43.
Ito H, Date H, Shintani Y, et al. The prognostic impact of lung adenocarcinoma predominance classification relating to pathological factors in lobectomy, the Japanese Joint Committee of Lung Cancer Registry Database in 2010. BMC Cancer. 2022;22(1):875.
Emoto K, Eguchi T, Tan KS, et al. Expansion of the Concept of Micropapillary Adenocarcinoma to Include a newly recognized Filigree Pattern as Well as the classical pattern based on 1468 Stage I Lung Adenocarcinomas. J Thorac Oncol. 2019;14(11):1948–61.
Kameda K, Eguchi T, Lu SH, et al. Implications of the Eighth Edition of the TNM proposal: Invasive Versus Total Tumor size for the T descriptor in pathologic stage I-IIA lung adenocarcinoma. J Thorac Oncol. 2018;13(12):1919–29.
Chen TX, Luo JZ, Gu HY, et al. Impact of solid minor histologic subtype in Postsurgical Prognosis of Stage I Lung Adenocarcinoma. Ann Thorac Surg. 2018;105(1):302–8.
Kadota K, Kushida Y, Kagawa S, et al. Cribriform Subtype is an independent predictor of recurrence and Survival after Adjustment for the Eighth Edition of TNM staging system in patients with resected lung adenocarcinoma. J Thorac Oncol. 2019;14(2):245–54.
Hung JJ, Yeh YC, Jeng WJ, et al. Predictive Value of the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification of Lung Adenocarcinoma in Tumor recurrence and patient survival. J Clin Oncol. 2014;32(22):2357–64.
Liu C, Wang LC, Chen HS, et al. Outcomes of patients with different lepidic percentage and tumor size of stage I lung adenocarcinoma. Thorac Cancer. 2022;13(14):2005–13.
Dai CY, Xie HK, Kadeer X, et al. Relationship of Lymph Node Micrometastasis and Micropapillary Component and their joint influence on prognosis of patients with Stage I Lung Adenocarcinoma. Am J Surg Pathol. 2017;41(9):1212–20.
Wang K, Xue MC, Qiu JH et al. Genomics analysis and nomogram risk prediction of occult lymph node metastasis in non-predominant micropapillary component of lung adenocarcinoma measuring ≤ 3 cm. Front Oncol. 2022;12(945997).
Zhang H, Huang WH, Liu C et al. The prognostic value of non-predominant micropapillary pattern in a large cohort of resected invasive lung adenocarcinoma measuring ≤ 3 cm. Front Oncol. 2021;11.
Tsuta K, Kawago M, Inoue E, et al. The utility of the proposed IASLC/ATS/ERS lung adenocarcinoma subtypes for disease prognosis and correlation of driver gene alterations. Lung Cancer. 2013;81(3):371–6.
Hung JJ, Jeng WJ, Chou TY, et al. Prognostic Value of the New International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Lung Adenocarcinoma Classification on death and recurrence in completely resected Stage I Lung Adenocarcinoma. Ann Surg. 2013;258(6):1079–86.
Wang YY, Zheng DF, Zheng JJ, et al. Predictors of recurrence and survival of pathological T1N0M0 invasive adenocarcinoma following lobectomy. J Cancer Res Clin Oncol. 2018;144(6):1015–23.
Kim M, Chung YS, Kim KA, Shim HS. Prognostic factors of acinar- or papillary-predominant adenocarcinoma of the lung. Lung Cancer. 2019;137:129–35.
Xu LR, Tavora F, Burke A. Histologic features Associated with metastatic potential in invasive adenocarcinomas of the lung. Am J Surg Pathol. 2013;37(7):1100–8.
Eguchi T, Kameda K, Lu SH, et al. Lobectomy is Associated with Better Outcomes than Sublobar Resection in Spread through Air Spaces (STAS)-Positive T1 lung adenocarcinoma: a propensity score-matched analysis. J Thorac Oncol. 2019;14(1):87–98.
Fujikawa R, Muraoka Y, Kashima J, et al. Clinicopathologic and genotypic features of Lung Adenocarcinoma characterized by the International Association for the study of Lung Cancer Grading System. J Thorac Oncol. 2022;17(5):700–7.
Duhig EE, Dettrick A, Godbolt DB, et al. Mitosis Trumps T Stage and Proposed International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification for Prognostic Value in Resected Stage 1 lung adenocarcinoma. J Thorac Oncol. 2015;10(4):673–81.
Miao YY, Zhang JY, Zou JW, Zhu QQ, Lv TF, Song Y. Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma. Transl Lung Cancer R. 2017;6(1):14–22.
Sun FH, Xi JJ, Zhan C, et al. Ground glass opacities: imaging, pathology, and gene mutations. J Thorac Cardiov Sur. 2018;156(2):808–13.
Moon Y, Lee KY, Park JK. The prognosis of invasive adenocarcinoma presenting as ground-glass opacity on chest computed tomography after sublobar resection. J Thorac Dis. 2017;9(10):3782–92.
Lee HJ, Kim YT, Kang CH, et al. Epidermal growth factor receptor mutation in lung adenocarcinomas: relationship with CT characteristics and histologic subtypes. Radiology. 2013;268(1):254–64.
Hong JH, Park S, Kim H, et al. Volume and Mass Doubling Time of Lung Adenocarcinoma according to WHO histologic classification. Korean J Radiol. 2021;22(3):464–75.
Li Q, Li X, Li XY, He XQ, Chu ZG, Luo TY. Histological subtypes of solid-dominant invasive lung adenocarcinoma: differentiation using dual-energy spectral CT. Clin Radiol. 2021;76(1):e7771–7.
Zhang Y, Fu F, Chen H. Management of Ground-Glass opacities in the Lung Cancer Spectrum. Ann Thorac Surg. 2020;110(6):1796–804.
Heidinger BH, Anderson KR, Nemec U, et al. Lung adenocarcinoma manifesting as pure ground-glass nodules: correlating CT size, volume, density, and roundness with histopathologic Invasion and size. J Thorac Oncol. 2017;12(8):1288–98.
Fu F, Zhang Y, Wen Z, et al. Distinct prognostic factors in patients with stage I non-small cell Lung Cancer with Radiologic Part-Solid or solid lesions. J Thorac Oncol. 2019;14(12):2133–42.
Ye T, Deng L, Wang S, et al. Lung adenocarcinomas manifesting as Radiological Part-Solid Nodules define a special clinical subtype. J Thorac Oncol. 2019;14(4):617–27.
Ma Z, Han H, Cao H, et al. Pathological and radiological T descriptors in invasive lung adenocarcinoma: from correlations to prognostic significance. Transl Lung Cancer Res. 2023;12(11):2181–92.
Lee HY, Lee SW, Lee KS, et al. Role of CT and PET imaging in Predicting Tumor recurrence and survival in patients with Lung Adenocarcinoma a Comparison with the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification of Lung Adenocarcinoma. J Thorac Oncol. 2015;10(12):1785–94.
Zhang Y, Qu H, Tian Y, et al. PB-LNet: a model for predicting pathological subtypes of pulmonary nodules on CT images. BMC Cancer. 2023;23(1):936.
Fu CL, Yang ZB, Li P, et al. Discrimination of ground-glass nodular lung adenocarcinoma pathological subtypes via transfer learning: a multicenter study. Cancer Med. 2023;12(18):18460–9.
Ding Y, Zhang LH, Guo LC, et al. Comparative study on the mutational profile of adenocarcinoma and squamous cell carcinoma predominant histologic subtypes in Chinese non-small cell lung cancer patients. Thorac Cancer. 2020;11(1):103–12.
Devarakonda S, Morgensztern D, Govindan R. Genomic alterations in lung adenocarcinoma. Lancet Oncol. 2015;16(7):E342–51.
Chen JB, Yang HC, Teo ASM, et al. Genomic landscape of lung adenocarcinoma in East asians. Nat Genet. 2020;52(2):177–86.
Jiang L, Mino-Kenudson M, Roden AC, et al. Association between the novel classification of lung adenocarcinoma subtypes and EGFR/KRAS mutation status: a systematic literature review and pooled-data analysis. Eur J Surg Oncol. 2019;45(5):870–6.
Osawa J, Shimada Y, Maehara S, et al. Clinical usefulness of the 3-tier classification according to the proportion of morphological patterns for patients with pathological stage I invasive lung adenocarcinoma. Gen Thorac Cardiovas. 2021;69(6):943–9.
Zhao MN, Zhan C, Li M, et al. Aberrant status and clinicopathologic characteristic associations of 11 target genes in 1,321 Chinese patients with lung adenocarcinoma. J Thorac Dis. 2018;10(1):398–407.
Boukansa S, Benbrahim Z, Gamrani S, et al. Correlation of epidermal growth factor receptor mutation with Major histologic subtype of Lung Adenocarcinoma according to IASLC/ATS/ERS classification. Cancer Control. 2022;29:10732748221084930.
Rekhtman N, Ang DC, Riely GJ, Ladanyi M, Moreira AL. KRAS mutations are associated with solid growth pattern and tumor-infiltrating leukocytes in lung adenocarcinoma. Mod Pathol. 2013;26(10):1307–19.
Dong YJ, Cai YR, Zhou LJ, et al. Association between the histological subtype of lung adenocarcinoma, EGFR/KRAS mutation status and the ALK rearrangement according to the novel IASLC/ATS/ERS classification. Oncol Lett. 2016;11(4):2552–8.
Cao H, Ma Z, Li Y, Zhang Y, Chen H. Prognostic value of KRAS G12C mutation in lung adenocarcinoma stratified by stages and radiological features. J Thorac Cardiovasc Surg. 2023;166(6):e479–99.
Xiang C, Ji CY, Cai YR, et al. Distinct mutational features across preinvasive and invasive subtypes identified through comprehensive profiling of surgically resected lung adenocarcinoma. Mod Pathol. 2022;35(9):1181–92.
Kadota K, Sima CS, Arcila ME, et al. KRAS Mutation is a significant prognostic factor in early-stage lung adenocarcinoma. Am J Surg Pathol. 2016;40(12):1579–90.
Takeuchi K, Soda M, Togashi Y, et al. RET, ROS1 and ALK fusions in lung cancer. Nat Med. 2012;18(3):378–81.
Rodig SJ, Mino-Kenudson M, Dacic S, et al. Unique clinicopathologic features characterize ALK-Rearranged lung adenocarcinoma in the Western Population. Clin Cancer Res. 2009;15(16):5216–23.
Warth A, Penzel R, Lindenmaier H, et al. EGFR, KRAS, BRAF and ALK gene alterations in lung adenocarcinomas: patient outcome, interplay with morphology and immunophenotype. Eur Respir J. 2014;43(3):872–83.
Cai WJ, Lin DM, Wu CY, et al. Intratumoral Heterogeneity of ALK-Rearranged and ALK/EGFR coaltered Lung Adenocarcinoma. J Clin Oncol. 2015;33(32):3701–9.
Lee SE, Lee B, Hong M, et al. Comprehensive analysis of RET and ROS1 rearrangement in lung adenocarcinoma. Mod Pathol. 2015;28(4):468–79.
Wang R, Hu HC, Pan YJ, et al. RET fusions define a Unique Molecular and Clinicopathologic Subtype of Non-small-cell Lung Cancer. J Clin Oncol. 2012;30(35):4352–9.
Wolf J, Seto T, Han JY, et al. Capmatinib in MET exon 14-Mutated or MET-Amplified non-small-cell Lung Cancer. New Engl J Med. 2020;383(10):944–57.
Overbeck TR, Cron DA, Schmitz K, et al. Top-level MET gene copy number gain defines a subtype of poorly differentiated pulmonary adenocarcinomas with poor prognosis. Transl Lung Cancer R. 2020;9(3):603–16.
Lee GD, Lee SE, Oh DY, et al. MET exon 14 skipping mutations in lung adenocarcinoma: clinicopathologic implications and prognostic values. J Thorac Oncol. 2017;12(8):1233–46.
Kashima J, Kitadai R, Okuma Y. Molecular and morphological profiling of Lung Cancer: A Foundation for Next-Generation pathologists and oncologists. Cancers (Basel). 2019;11(5):599.
Planchard D, Smit EF, Groen HJM, et al. Dabrafenib plus Trametinib in patients with previously untreated BRAF(V600E)-mutant metastatic non-small-cell lung cancer: an open-label, phase 2 trial. Lancet Oncol. 2017;18(10):1307–16.
Marchetti A, Felicioni L, Malatesta S, et al. Clinical features and outcome of patients with non-small-cell lung Cancer harboring BRAF mutations. J Clin Oncol. 2011;29(26):3574–9.
Li Y, Tan Y, Hu S, et al. Targeted sequencing analysis of predominant histological subtypes in Resected Stage I invasive lung adenocarcinoma. J Cancer. 2021;12(11):3222–9.
Rossi G, Pelosi G, Barbareschi M, Graziano P, Cavazza A, Papotti M. Subtyping Non-small Cell Lung Cancer: relevant issues and operative recommendations for the Best Pathology Practice. Int J Surg Pathol. 2013;21(4):326–36.
Mani H, Zander DS. Immunohistochemistry applications to the evaluation of lung and Pleural neoplasms: part 1. Chest. 2012;142(5):1316–23.
Truini A, Pereira PS, Cavazza A, et al. Classification of different patterns of pulmonary adenocarcinomas. Expert Rev Resp Med. 2015;9(5):571–86.
Butnor KJ. Controversies and challenges in the histologic subtyping of lung adenocarcinoma. Transl Lung Cancer R. 2020;9(3):839–46.
Huang JY, Song HZ, Liu BA, Yu B, Wang R, Chen LB. Expression of Notch-1 and its clinical significance in different histological subtypes of human lung adenocarcinoma. J Exp Clin Canc Res. 2013;32(1):84.
Wislez M, Antoine M, Baudrin L, et al. Non-mucinous and mucinous subtypes of adenocarcinoma with bronchioloalveolar carcinoma features differ by biomarker expression and in the response to gefitinib. Lung Cancer. 2010;68(2):185–91.
Lau SK, Desrochers MJ, Luthringer DJ. Expression of thyroid transcription factor-1, cytokeratin 7, and cytokeratin 20 in bronchioloalveolar carcinomas: an immunohistochemical evaluation of 67 cases. Mod Pathol. 2002;15(5):538–42.
Yatabe Y, Dacic S, Borczuk AC, et al. Best practices recommendations for Diagnostic immunohistochemistry in Lung Cancer. J Thorac Oncol. 2019;14(3):377–407.
Koga K, Hamasaki M, Kato F, et al. Association of c-Met phosphorylation with micropapillary pattern and small cluster invasion in pT1-size lung adenocarcinoma. Lung Cancer. 2013;82(3):413–9.
Zhong L, Zhang CF, Jia WT, Zhang PX. Diagnostic and therapeutic ER beta, HER2, BRCA biomakers in the histological subtypes of lung adenocarcinoma according to the IASLC/ATS/ERS classification. Ann Diagn Pathol. 2021;51(151700).
Feng JK, Hu ML, Li ZK et al. Cyclin-dependent kinase subunit 2 (CKS2) as a prognostic marker for stages I-III invasive non-mucinous lung adenocarcinoma and its role in affecting drug sensitivity. Cells-Basel. 2022;11(16).
Sata Y, Nakajima T, Fukuyo M, et al. High expression of CXCL14 is a biomarker of lung adenocarcinoma with micropapillary pattern. Cancer Sci. 2020;111(7):2588–97.
Matsubara D, Soda M, Yoshimoto T, et al. Inactivating mutations and hypermethylation of the NKX2-1/TTF-1 gene in non-terminal respiratory unit-type lung adenocarcinomas. Cancer Sci. 2017;108(9):1888–96.
Sugano M, Nagasaka T, Sasaki E, et al. HNF4α as a marker for invasive mucinous adenocarcinoma of the lung. Am J Surg Pathol. 2013;37(2):211–8.
Rossi G, Murer B, Cavazza A, et al. Primary mucinous (so-called colloid) carcinomas of the lung: a clinicopathologic and immunohistochemical study with special reference to CDX-2 homeobox gene and MUC2 expression. Am J Surg Pathol. 2004;28(4):442–52.
Chen M, Liu P, Yan F, et al. Distinctive features of immunostaining and mutational load in primary pulmonary enteric adenocarcinoma: implications for differential diagnosis and immunotherapy. J Transl Med. 2018;16(1):81.
Inamura K, Satoh Y, Okumura S, et al. Pulmonary adenocarcinomas with enteric differentiation: histologic and immunohistochemical characteristics compared with metastatic colorectal cancers and usual pulmonary adenocarcinomas. Am J Surg Pathol. 2005;29(5):660–5.
Wei DM, Chen WJ, Meng RM, et al. Augmented expression of Ki-67 is correlated with clinicopathological characteristics and prognosis for lung cancer patients: an up-dated systematic review and meta-analysis with 108 studies and 14,732 patients. Respir Res. 2018;19(1):150.
Ma XL, Zhou SC, Huang L, et al. Assessment of relationships among clinicopathological characteristics, morphological computer tomography features, and tumor cell proliferation in stage I lung adenocarcinoma. J Thorac Dis. 2021;13(5):2844–57.
Li ZH, Li F, Pan C, et al. Tumor cell proliferation (Ki-67) expression and its prognostic significance in histological subtypes of lung adenocarcinoma. Lung Cancer. 2021;154:69–75.
Zhou JB, Lin H, Ni Z, et al. Expression of PD-L1 through evolution phase from pre-invasive to invasive lung adenocarcinoma. BMC Pulm Med. 2023;23(1):18.
Reck M, Rodriguez-Abreu D, Robinson AG, et al. Five-year outcomes with Pembrolizumab Versus Chemotherapy for metastatic non-small-cell lung Cancer with PD-L1 tumor proportion score ≥ 50%. J Clin Oncol. 2021;39(21):2339–49.
Sung MT, Wang YH, Li CF. Open the technical black box of tumor mutational burden (TMB): factors affecting harmonization and standardization of panel-based TMB. Int J Mol Sci. 2022;23(9).
Chan TA, Yarchoan M, Jaffee E, et al. Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann Oncol. 2019;30(1):44–56.
Caso R, Sanchez-Vega F, Tan KS, et al. The underlying Tumor Genomics of predominant histologic subtypes in Lung Adenocarcinoma. J Thorac Oncol. 2020;15(12):1844–56.
Qiu Y, Liu LP, Yang HH et al. Integrating histologic and genomic characteristics to predict tumor mutation burden of early-stage non-small-cell lung cancer. Front Oncol. 2021;10.
Bejarano L, Jordao MJC, Joyce JA. Therapeutic targeting of the Tumor Microenvironment. Cancer Discov. 2021;11(4):933–59.
Sorin M, Rezanejad M, Karimi E, et al. Single-cell spatial landscapes of the lung tumour immune microenvironment. Nature. 2023;614(7948):548–54.
Pan Y, Yu Y, Wang X, Zhang T. Tumor-Associated macrophages in Tumor Immunity. Front Immunol. 2020;11:583084.
Xiang X, Wang J, Lu D, Xu X. Targeting tumor-associated macrophages to synergize tumor immunotherapy. Signal Transduct Target Ther. 2021;6(1):75.
Wang Y, Liu B, Min Q, et al. Spatial transcriptomics delineates molecular features and cellular plasticity in lung adenocarcinoma progression. Cell Discovery. 2023;9(1):96.
Lu YC, Yao X, Crystal JS, et al. Efficient identification of mutated cancer antigens recognized by T cells associated with durable tumor regressions. Clin Cancer Res. 2014;20(13):3401–10.
Li DAK, Yu HS, Hu JJ, et al. Comparative profiling of single-cell transcriptome reveals heterogeneity of tumor microenvironment between solid and acinar lung adenocarcinoma. J Transl Med. 2022;20(1):423.
Sato R, Imamura K, Semba T, et al. TGFβ signaling activated by Cancer-Associated fibroblasts determines the Histological Signature of Lung Adenocarcinoma. Cancer Res. 2021;81(18):4751–65.
Chen X, Song E. Turning foes to friends: targeting cancer-associated fibroblasts. Nat Rev Drug Discov. 2019;18(2):99–115.
Wang Y, Liu B, Zhao G, et al. Spatial transcriptomics: technologies, applications and experimental considerations. Genomics. 2023;115(5):110671.
Polanski K, Bartolome-Casado R, Sarropoulos I et al. Bin2cell reconstructs cells from high resolution Visium HD data. Bioinformatics. 2024;40(9).
Yang L, He YT, Dong S, et al. Single-cell transcriptome analysis revealed a suppressive tumor immune microenvironment in EGFR mutant lung adenocarcinoma. J Immunother Cancer. 2022;10(2):e003534.
Katsumata S, Aokage K, Miyoshi T, et al. Differences of tumor microenvironment between stage I lepidic-positive and lepidic-negative lung adenocarcinomas. J Thorac Cardiovasc Surg. 2018;156(4):1679–88.
Mollaoglu G, Jones A, Wait SJ, et al. The lineage-defining transcription factors SOX2 and NKX2-1 determine lung Cancer cell fate and shape the Tumor Immune Microenvironment. Immunity. 2018;49(4):764–e779769.
Hedrick CC, Malanchi I. Neutrophils in cancer: heterogeneous and multifaceted. Nat Rev Immunol. 2022;22(3):173–87.
Zhang YY, Zhao FN, Wu MH, et al. Association of postoperative recurrence with radiological and clinicopathological features in patients with stage IA-IIA lung adenocarcinoma. Eur J Radiol. 2021;141:109802.
Makinen JM, Laitakari K, Johnson S, et al. Nonpredominant lepidic pattern correlates with better outcome in invasive lung adenocarcinoma. Lung Cancer. 2015;90(3):568–74.
Hattori A, Hirayama S, Matsunaga T, et al. Distinct clinicopathologic characteristics and prognosis based on the Presence of Ground Glass Opacity Component in Clinical Stage IA Lung Adenocarcinoma. J Thorac Oncol. 2019;14(2):265–75.
Bertoglio P, Aprile V, Ventura L, et al. Impact of high-Grade patterns in early-stage lung adenocarcinoma: a multicentric analysis. Lung. 2022;200(5):649–60.
Moon Y, Sung SW, Lee KY, Kim YK, Park JK. The importance of the lepidic component as a prognostic factor in stage I pulmonary adenocarcinoma. World J Surg Oncol. 2016;14.
Ito M, Miyata Y, Yoshiya T, et al. Second predominant subtype predicts outcomes of intermediate-malignant invasive lung adenocarcinoma. Eur J Cardio-Thorac. 2017;51(2):218–22.
Gu J, Lu CL, Guo J, et al. Prognostic significance of the IASLC/ATS/ERS classification in Chinese patients-A single institution retrospective study of 292 lung adenocarcinoma. J Surg Oncol. 2013;107(5):474–80.
Chen C, Chen ZJ, Li WJ, et al. Impact of minimal solid and micropapillary components on invasive lung adenocarcinoma recurrence. Ann Diagn Pathol. 2022;59:151945.
Bian TT, Jiang DS, Feng J, et al. Lepidic component at tumor margin: an independent prognostic factor in invasive lung adenocarcinoma. Hum Pathol. 2019;83:106–14.
Hou Y, Song W, Chen M, et al. The presence of lepidic and micropapillary/solid pathological patterns as minor components has prognostic value in patients with intermediate-grade invasive lung adenocarcinoma. Transl Lung Cancer Res. 2022;11(1):64–74.
Yang FJ, Dong ZW, Shen YR, et al. Cribriform growth pattern in lung adenocarcinoma: more aggressive and poorer prognosis than acinar growth pattern. Lung Cancer. 2020;147:187–92.
Moreira AL, Joubert P, Downey RJ, Rekhtman N. Cribriform and fused glands are patterns of high-grade pulmonary adenocarcinoma. Hum Pathol. 2014;45(2):213–20.
Zhu ER, Xie HK, Gu C, et al. Recognition of filigree pattern expands the concept of micropapillary subtype in patients with surgically resected lung adenocarcinoma. Mod Pathol. 2021;34(5):883–94.
Kadota K, Yeh YC, Sima CS, et al. The cribriform pattern identifies a subset of acinar predominant tumors with poor prognosis in patients with stage I lung adenocarcinoma: a conceptual proposal to classify cribriform predominant tumors as a distinct histologic subtype. Mod Pathol. 2014;27(5):690–700.
Warth A, Muley T, Kossakowski C, et al. Prognostic impact and clinicopathological correlations of the Cribriform Pattern in Pulmonary Adenocarcinoma. J Thorac Oncol. 2015;10(4):638–44.
Bosse Y, Gagne A, Althak W, et al. Prognostic value of complex glandular patterns in invasive pulmonary adenocarcinomas. Hum Pathol. 2022;128:56–68.
Zhang RZ, Hu GM, Qiu JH, et al. Clinical significance of the cribriform pattern in invasive adenocarcinoma of the lung. J Clin Pathol. 2019;72(10):682–8.
Kuang MY, Shen XX, Yuan CZ, et al. Clinical significance of Complex glandular patterns in Lung Adenocarcinoma Clinicopathologic and Molecular Study in a large series of cases. Am J Clin Pathol. 2018;150(1):65–73.
Thunnissen E, Beasley MB, Borczuk AC, et al. Reproducibility of histopathological subtypes and invasion in pulmonary adenocarcinoma. An international interobserver study. Mod Pathol. 2012;25(12):1574–83.
Cardillo G, Petersen RH, Ricciardi S et al. European guidelines for the surgical management of pure ground-glass opacities and part-solid nodules: task force of the European association of cardio-thoracic surgery and the European society of thoracic surgeons. Eur J Cardiothorac Surg. 2023;64(4).
Ginsberg RJ, Rubinstein LV. Randomized trial of lobectomy versus limited resection for T1 N0 non-small cell lung cancer. Lung Cancer Study Group. Ann Thorac Surg. 1995;60(3):615–22. discussion 622– 613.
Aokage K, Miyoshi T, Ishii G, et al. Influence of Ground Glass Opacity and the corresponding pathological findings on survival in patients with clinical stage I non-small cell Lung Cancer. J Thorac Oncol. 2018;13(4):533–42.
Hattori A, Suzuki K, Takamochi K, et al. Prognostic impact of a ground-glass opacity component in clinical stage IA non-small cell lung cancer. J Thorac Cardiovasc Surg. 2021;161(4):1469–80.
Liu SL, Wang R, Zhang Y, et al. Precise diagnosis of Intraoperative Frozen section is an effective method to Guide Resection Strategy for Peripheral Small-Sized Lung Adenocarcinoma. J Clin Oncol. 2016;34(4):307–13.
Wang YY, Wang R, Zheng DF, et al. The indication of completion lobectomy for lung adenocarcinoma ≤ 3 cm after wedge resection during surgical operation. J Cancer Res Clin Oncol. 2017;143(10):2095–104.
Cheng XH, Zheng DF, Li Y, et al. Tumor histology predicts mediastinal nodal status and may be used to guide limited lymphadenectomy in patients with clinical stage I non-small cell lung cancer. J Thorac Cardiov Sur. 2018;155(6):2648–e26562642.
Cox ML, Yang CJ, Speicher PJ, et al. The role of extent of Surgical Resection and Lymph Node Assessment for Clinical Stage I Pulmonary Lepidic Adenocarcinoma: an analysis of 1991 patients. J Thorac Oncol. 2017;12(4):689–96.
Ito H, Nakayama H, Murakami S, et al. Does the histologic predominance of pathological stage IA lung adenocarcinoma influence the extent of resection? Gen Thorac Cardiovasc Surg. 2017;65(9):512–8.
Zhang Y, Deng C, Zheng Q, et al. Selective Mediastinal Lymph Node Dissection Strategy for Clinical T1N0 Invasive Lung Cancer: a prospective, Multicenter, Clinical Trial. J Thorac Oncol. 2023;18(7):931–9.
Sagawa M, Oizumi H, Suzuki H, et al. A prospective 5-year follow-up study after limited resection for lung cancer with ground-glass opacity. Eur J Cardiothorac Surg. 2018;53(4):849–56.
Cho JH, Choi YS, Kim J, Kim HK, Zo JI, Shim YM. Long-term outcomes of wedge resection for pulmonary ground-glass opacity nodules. Ann Thorac Surg. 2015;99(1):218–22.
Tsutani Y, Miyata Y, Nakayama H, et al. Appropriate sublobar resection choice for ground glass opacity-dominant clinical stage IA lung adenocarcinoma: wedge resection or segmentectomy. Chest. 2014;145(1):66–71.
Yoshino I, Moriya Y, Suzuki K, et al. Long-term outcome of patients with peripheral ground-glass opacity-dominant lung cancer after sublobar resections. J Thorac Cardiovasc Surg. 2023;166(4):1222–e12311221.
Suzuki K, Watanabe SI, Wakabayashi M, et al. A single-arm study of sublobar resection for ground-glass opacity dominant peripheral lung cancer. J Thorac Cardiovasc Surg. 2022;163(1):289–e301282.
Aokage K, Suzuki K, Saji H, et al. Segmentectomy for ground-glass-dominant lung cancer with a tumour diameter of 3 cm or less including ground-glass opacity (JCOG1211): a multicentre, single-arm, confirmatory, phase 3 trial. Lancet Respir Med. 2023;11(6):540–9.
Saji H, Okada M, Tsuboi M, et al. Segmentectomy versus lobectomy in small-sized peripheral non-small-cell lung cancer (JCOG0802/WJOG4607L): a multicentre, open-label, phase 3, randomised, controlled, non-inferiority trial. Lancet. 2022;399(10335):1607–17.
Hattori A, Suzuki K, Takamochi K et al. Segmentectomy versus lobectomy in small-sized peripheral non-small-cell lung cancer with radiologically pure-solid appearance in Japan (JCOG0802/WJOG4607L): a post-hoc supplemental analysis of a multicentre, open-label, phase 3 trial. Lancet Respir Med. 2024.
Maniwa T, Okami J, Miyoshi T et al. Lymph node dissection in small peripheral lung cancer: supplemental analysis of JCOG0802/WJOG4607L. J Thorac Cardiovasc Surg. 2023.
Altorki N, Wang X, Kozono D, et al. Lobar or sublobar resection for peripheral stage IA non-small-cell lung cancer. N Engl J Med. 2023;388(6):489–98.
Matsushima K, Sonoda D, Mitsui A, et al. Factors associated with lymph node metastasis upstage after resection for patients with micropapillary lung adenocarcinoma. Thorac Cancer. 2022;13(1):48–53.
Hung JJ, Yeh YC, Jeng WJ, Wu YC, Chou TY, Hsu WH. Factors predicting occult lymph node metastasis in completely resected lung adenocarcinoma of 3 cm or smaller. Eur J Cardio-Thorac. 2016;50(2):329–36.
Yeh YC, Kadota K, Nitadori J, et al. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification predicts occult lymph node metastasis in clinically mediastinal node-negative lung adenocarcinoma. Eur J Cardiothorac Surg. 2016;49(1):e9–15.
Arrieta O, Salas AA, Cardona AF, et al. Risk of development of brain metastases according to the IASLC/ATS/ERS lung adenocarcinoma classification in locally advanced and metastatic disease. Lung Cancer. 2021;155:183–90.
Nitadori J, Bograd AJ, Kadota K, et al. Impact of Micropapillary histologic subtype in Selecting Limited Resection vs Lobectomy for Lung Adenocarcinoma of 2 cm or smaller. J Natl Cancer Inst. 2013;105(16):1212–20.
Yao J, Zhu EJ, Li M, et al. Prognostic impact of micropapillary component in patients with node-negative subcentimeter lung adenocarcinoma: a Chinese cohort study. Thorac Cancer. 2020;11(12):3566–75.
Song W, Hou Y, Zhang J, Zhou Q. Comparison of outcomes following lobectomy, segmentectomy, and wedge resection based on pathological subtyping in patients with pN0 invasive lung adenocarcinoma ≤ 1 cm. Cancer Med. 2022;11(24):4784–95.
Xu LD, Zhou HC, Wang GX, et al. The prognostic influence of histological subtypes of micropapillary tumors on patients with lung adenocarcinoma ≤ 2 cm. Front Oncol. 2022;12:954317.
Yeh YC, Nitadori J, Kadota K, et al. Using frozen section to identify histological patterns in stage I lung adenocarcinoma of ≤ 3 cm: accuracy and interobserver agreement. Histopathology. 2015;66(7):922–38.
Zhang Y, Deng C, Fu F, et al. Excellent prognosis of patients with invasive lung adenocarcinomas during surgery misdiagnosed as atypical adenomatous Hyperplasia, Adenocarcinoma in situ, or minimally invasive adenocarcinoma by Frozen Section. Chest. 2021;159(3):1265–72.
Fan J, Yao J, Si H, et al. Frozen sections accurately predict the IASLC proposed grading system and prognosis in patients with invasive lung adenocarcinomas. Lung Cancer. 2023;178:123–30.
Trejo Bittar HE, Incharoen P, Althouse AD, Dacic S. Accuracy of the IASLC/ATS/ERS histological subtyping of stage I lung adenocarcinoma on intraoperative frozen sections. Mod Pathol. 2015;28(8):1058–63.
Xu X, Chung JH, Jheon S, et al. The accuracy of frozen section diagnosis of pulmonary nodules: evaluation of inflation method during intraoperative pathology consultation with cryosection. J Thorac Oncol. 2010;5(1):39–44.
Myung JK, Choe G, Chung DH, et al. A simple inflation method for frozen section diagnosis of minute precancerous lesions of the lung. Lung Cancer. 2008;59(2):198–202.
Yeh YC, Nitadori J, Kadota K, et al. Using frozen section to identify histological patterns in stage I lung adenocarcinoma of 3 cm: accuracy and interobserver agreement. Histopathology. 2015;66(7):922–38.
Ohtani-Kim SJ, Taki T, Tane K, et al. Efficacy of Preoperative Biopsy in Predicting the newly proposed histologic Grade of Resected Lung Adenocarcinoma. Mod Pathol. 2023;36(9):100209.
Chaft JE, Shyr Y, Sepesi B, Forde PM. Preoperative and postoperative systemic therapy for operable non-small-cell Lung Cancer. J Clin Oncol. 2022;40(6):546–55.
Fruh M, Rolland E, Pignon JP, et al. Pooled analysis of the effect of age on adjuvant cisplatin-based chemotherapy for completely resected non-small-cell lung cancer. J Clin Oncol. 2008;26(21):3573–81.
Tsao MS, Marguet S, Le Teuff G, et al. Subtype classification of lung Adenocarcinoma Predicts Benefit from Adjuvant Chemotherapy in patients undergoing complete resection. J Clin Oncol. 2015;33(30):3439–46.
Sereno M, He ZY, Smith CR, et al. Inclusion of multiple high-risk histopathological criteria improves the prediction of adjuvant chemotherapy efficacy in lung adenocarcinoma. Histopathology. 2021;78(6):838–48.
Goldstraw P, Chansky K, Crowley J, et al. The IASLC Lung Cancer Staging Project: proposals for revision of the TNM Stage groupings in the Forthcoming (Eighth) Edition of the TNM classification for Lung Cancer. J Thorac Oncol. 2016;11(1):39–51.
Qian FF, Yang WJ, Wang R, et al. Prognostic significance and adjuvant chemotherapy survival benefits of a solid or micropapillary pattern in patients with resected stage IB lung adenocarcinoma. J Thorac Cardiov Sur. 2018;155(3):1227–35.
Ma M, She Y, Ren Y, et al. Micropapillary or solid pattern predicts recurrence free survival benefit from adjuvant chemotherapy in patients with stage IB lung adenocarcinoma. J Thorac Dis. 2018;10(9):5384–93.
Luo JZ, Huang QY, Wang R, et al. Prognostic and predictive value of the novel classification of lung adenocarcinoma in patients with stage IB. J Cancer Res Clin Oncol. 2016;142(9):2031–40.
Wang C, Yang JG, Lu M. Micropapillary Predominant Lung Adenocarcinoma in Stage IA benefits from Adjuvant Chemotherapy. Ann Surg Oncol. 2020;27(6):2051–60.
Soria JC, Tan DSW, Chiari R, et al. First-line ceritinib versus platinum-based chemotherapy in advanced ALK-rearranged non-small-cell lung cancer (ASCEND-4): a randomised, open-label, phase 3 study. Lancet. 2017;389(10072):917–29.
Soria JC, Ohe Y, Vansteenkiste J, et al. Osimertinib in untreated EGFR-Mutated Advanced Non-small-cell Lung Cancer. N Engl J Med. 2018;378(2):113–25.
Yoshida T, Ishii G, Goto K, et al. Solid predominant histology predicts EGFR tyrosine kinase inhibitor response in patients with EGFR mutation-positive lung adenocarcinoma. J Cancer Res Clin. 2013;139(10):1691–700.
Song XM, Zhang T, Ding HL, et al. Non-genetic stratification reveals epigenetic heterogeneity and identifies vulnerabilities of glycolysis addiction in lung adenocarcinoma subtype. Oncogenesis. 2022;11(1):61.
Yoshizawa A, Sumiyoshi S, Sonobe M, et al. Validation of the IASLC/ATS/ERS Lung Adenocarcinoma Classification for Prognosis and Association with EGFR and KRAS Gene mutations analysis of 440 Japanese patients. J Thorac Oncol. 2013;8(1):52–61.
de Langen AJ, Johnson ML, Mazieres J, et al. Sotorasib versus Docetaxel for previously treated non-small-cell lung cancer with KRAS(G12C) mutation: a randomised, open-label, phase 3 trial. Lancet. 2023;401(10378):733–46.
Golding B, Luu A, Jones R, Viloria-Petit AM. The function and therapeutic targeting of anaplastic lymphoma kinase (ALK) in non-small cell lung cancer (NSCLC). Mol Cancer. 2018;17(1):52.
Zhang B, Zeng J, Zhang H, et al. Characteristics of the immune microenvironment and their clinical significance in non-small cell lung cancer patients with ALK-rearranged mutation. Front Immunol. 2022;13:974581.
Solomon BJ, Bauer TM, Mok TSK, et al. Efficacy and safety of first-line lorlatinib versus crizotinib in patients with advanced, ALK-positive non-small-cell lung cancer: updated analysis of data from the phase 3, randomised, open-label CROWN study. Lancet Respir Med. 2023;11(4):354–66.
Wu YL, Dziadziuszko R, Ahn JS, et al. Alectinib in Resected ALK-Positive non-small-cell Lung Cancer. N Engl J Med. 2024;390(14):1265–76.
Tang S, Qin C, Hu H et al. Immune checkpoint inhibitors in Non-small cell lung cancer: progress, challenges, and prospects. Cells-Basel. 2022;11(3).
Lee CK, Man J, Lord S, et al. Clinical and molecular characteristics Associated with Survival among patients treated with checkpoint inhibitors for Advanced Non-small Cell Lung Carcinoma a systematic review and Meta-analysis. JAMA Oncol. 2018;4(2):210–6.
Izumi M, Sawa K, Oyanagi J, et al. Tumor microenvironment disparity in multiple primary lung cancers: impact of non-intrinsic factors, histological subtypes, and genetic aberrations. Transl Oncol. 2021;14(7):101102.
Chaft JE, Oezkan F, Kris MG, et al. Neoadjuvant atezolizumab for resectable non-small cell lung cancer: an open-label, single-arm phase II trial. Nat Med. 2022;28(10):2155–61.
Dhasmana A, Dhasmana S, Haque S, Cobos E, Yallapu MM, Chauhan SC. Next-generation immune checkpoint inhibitors as promising functional molecules in cancer therapeutics. Cancer Metastasis Rev. 2023;42(3):597–600.
Funding
This work was supported by the National Natural Science Foundation of China (82373102), Youth Talent Lifting Program of Shaanxi Association for Science and Technology (20230311), Young Talent Program of Tangdu Hospital, Clinical Research Program of Air Force Medical University (2023LC2337), Tangdu Hospital’s 2024 Discipline Boosting Program (2024JSYX008), China Postdoctoral Science Foundation (2023MT44294).
Author information
Authors and Affiliations
Contributions
SX, MW, YX and YH conceived the scoping review and participated in its design. SX, and HD developed and conducted the literature search strategy. SX, YT and ZW conducted the data screening and extraction. SX, SJ and FM carried out the data analyses. SX drafted the manuscript. SX, YT and MW prepared figures and tables. YX, YH, and MW revised the manuscript. All authors read and approved the final manuscript.
Corresponding authors
Ethics declarations
Ethical approval
Not applicable.
Competing interests
The authors declare no competing interests.
Conflict of interest
None declared.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Xin, S., Wen, M., Tian, Y. et al. Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies. World J Surg Onc 23, 66 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12957-025-03701-9
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12957-025-03701-9